Triple

T9043627
Position Surface form Disambiguated ID Type / Status
Subject Museum MORE Gorssel E216699 entity
Predicate locatedInMunicipality P40 FINISHED
Object Lochem E607047 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lochem | Statement: [Museum MORE Gorssel, locatedInMunicipality, Lochem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lochem
Context triple: [Museum MORE Gorssel, locatedInMunicipality, Lochem]
  • A. Lochem chosen
    Lochem is a historic town and municipality in the Dutch province of Gelderland, known for its scenic countryside and location on the Twente Canal.
  • B. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • C. Schoonhoven
    Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
  • D. Eeklo
    Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
  • E. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b1228748190be0c4afe6e0bd9a3 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1877fd48190ad33df32bcd93e13 completed April 4, 2026, 6:36 a.m.
Created at: March 30, 2026, 7:09 p.m.